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    Ai-Powered Interaction Design Patterns

    Posted By: ELK1nG
    Ai-Powered Interaction Design Patterns

    Ai-Powered Interaction Design Patterns
    Published 3/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.90 GB | Duration: 5h 36m

    Case studies, challenges and best practices

    What you'll learn

    Describe key AI-powered interaction patterns like adaptive interaction, feedback loops, and human-in-the-loop systems.

    Identify examples and applications of AI-powered design patterns.

    Use design patterns to create personalized, engaging, and trustworthy AI solutions.

    Describe challenges and best practices of designing and implementing various AI-powered design patterns.

    Requirements

    Previous experience in product development, UX (User Experience) design, HCI (Human-Computer Interaction), or data-driven projects can enhance your engagement in this course. However, if you do not have this experience, curiosity about how AI shapes modern products and a willingness to explore ethical and technical challenges are sufficient.

    Description

    AI is transforming user experiences by making digital interactions smarter, adaptive, and more intuitive. This course explores AI-powered design patterns—structured approaches that leverage AI to create engaging, efficient, and human-centered digital experiences.By understanding and applying these patterns, learners will be able to:Describe key AI-powered interaction patterns like adaptive interaction, feedback loops, and human-in-the-loop systems.Identify examples and applications of AI-powered design patterns.Use design patterns to create personalized, engaging, and trustworthy AI solutions.Describe challenges and best practices of designing and implementing various AI-powered design patterns.What You Will Learn:AI-Driven Adaptive Patterns – How AI adjusts experiences dynamically based on user behavior.Conversational AI Patterns – Designing intuitive AI-powered chatbots and voice assistants.Natural User Interaction - How AI help design interactions based on human behaviors. Human-AI Collaboration – How users and AI co-create, guide, or enhance digital interactions.Gamification & Engagement – AI-powered rewards, challenges, and social interaction strategies.Feedback & Learning Loops – Using AI to refine and optimize interactions through continuous feedback.Who Should Take This Course?Designers (UX/UI, Interaction) – Enhance digital products with AI-driven interactions.Developers – Implement AI-powered patterns in software and applications.Product Managers – Understand AI’s impact on user engagement and strategy.Researchers & Educators – Explore cutting-edge AI interaction design methodologies.By the end of this course, you’ll have a deep understanding of AI-powered interaction design patterns and be able to apply them in real-world applications across various industries.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Target Audience

    Lecture 3 Disclosures

    Section 2: Design Patterns

    Lecture 4 Learning Objectives

    Lecture 5 Introduction to Design Patterns

    Lecture 6 History of Design Patterns

    Lecture 7 AI-Powered Design Patterns

    Section 3: Adaptive Patterns

    Lecture 8 Learning Objectives and Introduction

    Lecture 9 Dynamic Personalization

    Lecture 10 Predictive Assistance

    Lecture 11 Context-Aware Interfaces

    Lecture 12 Conclusion

    Section 4: Conversational Patterns

    Lecture 13 Learning Objectives

    Lecture 14 Introduction

    Lecture 15 Single-Turn Conversational Patterns

    Lecture 16 Multi-Turn Conversational Patterns

    Lecture 17 Variations in Conversational Patterns

    Lecture 18 Conclusion

    Section 5: Feedback and Learning Patterns

    Lecture 19 Learning Objectives

    Lecture 20 Introduction

    Lecture 21 Continuous Feedback Loops

    Lecture 22 Adaptive Learning Patterns

    Lecture 23 Corrective Feedback and Error Recovery Pattern

    Lecture 24 Anomaly Detection Feedback Pattern

    Lecture 25 Conclusion

    Section 6: Natural Interaction Patterns

    Lecture 26 Learning Objectives

    Lecture 27 Introduction

    Lecture 28 Voice Interaction

    Lecture 29 Gesture Recognition

    Lecture 30 Emotion Recognition

    Lecture 31 Touch and Haptic Feedback

    Lecture 32 Eye-Tracking & Gaze Prediction

    Lecture 33 Conclusion

    Section 7: Human-AI Collaboration Patterns

    Lecture 34 Learning Objectives

    Lecture 35 Introduction

    Lecture 36 Human-Guided AI

    Lecture 37 Human-AI Collaboration Loop

    Lecture 38 Human-AI Co-creation

    Lecture 39 AI Guides Human

    Lecture 40 AI Takes Initiative, Human Approves

    Lecture 41 Conclusion

    Section 8: Gamification and Engagement Patterns

    Lecture 42 Learning Objectives

    Lecture 43 Introduction

    Lecture 44 AI-Enhanced Challenges

    Lecture 45 Dynamic Rewards

    Lecture 46 Habit Formation and Streak Mechanisms

    Lecture 47 Social and Competitive Engagement

    Section 9: Conclusion

    Lecture 48 Conclusion

    designers (UI/UX, product, interaction), developers, product managers, researchers and educators.